Advances in Cytometry: Applications

1st Edition, Volume 186 - April 23, 2024
Editors: J. Paul Robinson, Pratip Chattopadhyay, James Jacobberger
Language: English
Hardback ISBN:
9 7 8 - 0 - 3 2 3 - 9 9 4 1 9 - 4
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 9 9 4 2 0 - 0

Advances in Cytometry: Applications, Volume 176 in the Methods in Cell Biology series, highlights advances in the field, with this new volume presenting interesting chapters on tim… Read more

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Advances in Cytometry: Applications, Volume 176 in the Methods in Cell Biology series, highlights advances in the field, with this new volume presenting interesting chapters on timely topics, including Orthotopic brain tumor models derived from glioblastoma stem-like cells, RNA sequencing in hematopoietic stem cells, Generation of inducible pluripotent stem cells from human dermal fibroblasts, In vitro preparation of dental pulp stem cell grafts combined with biocompatible scaffolds for tissue engineering, Gene expression knockdown in chronic myeloid leukemia stem cells, Identification and isolation of slow-cycling GSCs, Assessment of CD133, EpCAM, and much more.

Cover image
Title page
Table of Contents
Series Page
Copyright
Contributors
In Memoriam: Zbigniew Darzynkiewicz
Preface
Chapter One Probing cell proliferation: Considerations for dye selection
Abstract
1 Introduction
2 Materials and methods
3 Results
4 Critical aspects
Acknowledgments
References
Chapter Two DNA flow cytometry for detection of genomic instability as a cancer precursor in the gastrointestinal tract
Abstract
1 Introduction
2 Step-by-step methods
3 Materials and equipment
4 Step-by-step method details
5 Expected outcomes
6 Analysis
7 Advantages
8 Limitations
9 Optimization and troubleshooting
10 Safety considerations and standards
11 Alternative methods/procedures
References
Chapter Three Immunophenotyping challenging tissue types using high-dimensional full spectrum flow cytometry
Abstract
1 Introduction
2 Panel design
3 Sample preparation
4 Panel optimization
5 Expected outcomes
6 Conclusion
Acknowledgments
References
Chapter Four Single-cell multi-parametric characterization of microbiota by flow cytometry
Abstract
1 Before you begin
2 Key resources table
3 Materials and equipment
4 Step-by-step method details
5 Expected outcomes
6 Quantification and statistical analysis
7 Advantages
8 Limitations
9 Optimization and troubleshooting
10 Safety considerations and standards
11 Alternative methods/procedures
References
Chapter Five Harmonized analysis of PBMC by mass cytometry
Abstract
1 Introduction
2 Materials
3 Protocol
4 Concluding remarks
References
Chapter Six A pharmacodynamic assay to monitor treatment with the hypomethylating cytosine analogs, decitabine and azacitidine
Abstract
1 Introduction
2 Method
3 Before you begin
4 Key resources table
5 Materials and equipment
6 Step-by-step method details
7 Timing
8 Expected outcomes
9 Quantification and statistical analysis
10 Advantages
11 Use in clinical trials
12 Limitations
13 Optimization and troubleshooting
14 Safety considerations and standards
15 Alternative methods/procedures
Conflict of interest
References
Chapter Seven Cell metabolism: Functional and phenotypic single cell approaches
Abstract
1 Introduction
2 Different approaches to investigate immune cell metabolism
3 Ex vivo, in vitro: What to know before starting
4 The powerhouse of the cells: Mitochondria
5 Primary source of energy supply: Investigation of metabolites and macromolecules uptake
6 Metabolic function
7 Simultaneous investigation of the main metabolic pathways by flow cytometry
8 Conclusion
References
Chapter Eight Spectral analysis and sorting of microbial organisms using a spectral sorter
Abstract
1 Introduction to flow cytometry
2 Conventional flow cytometers in microbiology
3 Spectral flow cytometry
4 Identification of bacteria using elastic light scatter technology
5 Conclusion
References
Chapter Nine A Hitchhiker's guide to high-dimensional tissue imaging with multiplexed ion beam imaging
Abstract
1 Introduction
2 Antibody selection, validation, and conjugation
3 Methods
4 Discussion
Acknowledgments
References
Chapter Ten Measuring response to therapy in AML: Difference from normal flow cytometry vs RQ-PCR
Abstract
1 Introduction
2 Flow cytometric detection of aberrant phenotypes
3 Quantitative reverse transcriptase polymerase chain reaction MRD
4 Comparison between ΔN:M and RQ-PCR
5 CBFA2T3:GLIS2 vs RAM phenotype
6 RUNX1T1:RUNX1 vs ΔN
7 Summary
References
Further reading
Chapter Eleven Molecular cytometry for comprehensive immune profiling
Abstract
1 Early precursors of molecular cytometry: Their value and limitations
2 Molecular cytometry: Methodology
3 Current limitations of molecular cytometry
4 Application
5 Summary
Acknowledgments
References
Chapter Twelve Analysis of the multiparametric cell cycle data
Abstract
1 Introduction
2 Measurement
3 Analysis
References
Chapter Thirteen Spectral flow cytometry: Fundamentals and future impact
Abstract
1 Introduction
2 The fundamental problem of spectral overlap
3 Spectral cytometry
4 Fundamental differences between polychromatic and spectral cytometry
5 Spectral unmixing
6 Spectral cytometry in the clinical domain
7 Expanding the portfolio of cytometry labels
8 Conclusion
References

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Advances in Cytometry: Applications

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J. Paul Robinson

Pratip Chattopadhyay

James Jacobberger